Soft computing methods for estimating the uniaxial compressive strength of intact rock from index tests

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F15%3A00450214" target="_blank" >RIV/68145535:_____/15:00450214 - isvavai.cz</a>

Result on the web

<a href="http://ac.els-cdn.com/S1365160915300708/1-s2.0-S1365160915300708-main.pdf?_tid=318a7cec-8929-11e5-a3b8-00000aacb35f&acdnat=1447324752_2a9d947b573773f88da353a16f850eac" target="_blank" >http://ac.els-cdn.com/S1365160915300708/1-s2.0-S1365160915300708-main.pdf?_tid=318a7cec-8929-11e5-a3b8-00000aacb35f&acdnat=1447324752_2a9d947b573773f88da353a16f850eac</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ijrmms.2015.10.012" target="_blank" >10.1016/j.ijrmms.2015.10.012</a>

Result language

angličtina

Original language name

Soft computing methods for estimating the uniaxial compressive strength of intact rock from index tests

Original language description

Uniaxial compressive strength ( UCS ) is one of the most widely used rock mechanical parameters in rock engineering. Determi- nation of this parameter in the laboratory, however, requires quality rock specimens. The use of various index tests that require little or no specimen preparation and are easier to perform as well as less expensive than the uniaxial compression test has always been attractive in order to predict UCS of rock materials empirically 1 ? 16 . Amongst different predictive models suchas re- gression analyses, fuzzy inference system and neural network approaches ; regression analyses are commonly employed to es- tablish a predictive model to estimate UCS 17 . In the last decade or so, however, the use of soft computing methods (e.g. fuzzy in- ference system (FIS), arti fi cial neural network (ANN) and adaptive neuro ? fuzzy inference system (ANFIS)) in order to establish pre- dictive models has also gained signi fi cant attention in the areas of rock mechanics and eng

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DH - Mining industry including coal mining and processing

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Rock Mechanics and Mining Sciences

ISSN

1365-1609

e-ISSN

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Volume of the periodical

80

Issue of the periodical within the volume

December 2015

Country of publishing house

GB - UNITED KINGDOM

Number of pages

7

Pages from-to

418-424

UT code for WoS article

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EID of the result in the Scopus database

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